{"schemaVersion":"jobsearcher.job.v1","id":"ea20c0716c9a07f2138da137","url":"https://jobsearcher.com/jobs/ea20c0716c9a07f2138da137","canonicalUrl":"https://jobsearcher.com/jobs/ea20c0716c9a07f2138da137","title":"Data Scientist (AI, Big Data, SQL, Python)| REMOTE","description":"Centralized Data Leader100% TelecommuteOur audit and governance functions require a centralized data leader who can:Architect scalable, secure, compliant data pipelinesTranslate complex datasets into actionable insights for regulatory and operational decisionsBuild intuitive, low-maintenance tools that empower non-technical users across the PA experienceResponsibilities:Data Collection & Cleaning - They gather data from various sources and clean it to ensure it's usable—removing errors, filling in missing values, and standardizing formats.Exploratory Data Analysis (EDA) - They explore the data to understand patterns, trends, and relationships using statistical techniques and visualizations.Model Building - They build predictive models using machine learning algorithms to forecast outcomes or classify data.Interpretation & Communication - They translate complex results into actionable insights and communicate them to stakeholders through reports, dashboards, or presentations.Deployment & Monitoring - In some cases, they help deploy models into production systems and monitor their performance over time.Ideal Background:Healthcare specific background would be helpful.But candidate must be experienced in elements of statistics, computer science, and domain expertise to help organizations make data-driven decisions.As well as, build and maintain artificial intelligence (AI) driven platforms/solutions.Required:Programming: Python, R, SQLStatistics & MathematicsMachine Learning & AIData Visualization: Tools like Tableau, Power BI, or libraries like Matplotlib and SeabornBig Data Tools: Spark, Hadoop (for large-scale data)Preferred:Advanced SQL and Python for analytics, ETL, and automationData modeling, warehousing, and pipeline orchestration (cloud-native stack)Dashboarding (Power BI; Streamlit or similar) and reproducible analytics (versioning, CI/CD preferred)Healthcare data familiarity (claims, PA & appeals, pharmacy) and regulatory contexts (CMS, NCQA, URAC, ERISA, state rules)Data security, privacy, and compliance best practices.Required Skills: PowerBIBasic Qualification:Additional Skills:This is a high PRIORITY requisition.","company":"Samprasoft","rawCompany":"samprasoft","isRemote":true,"isActive":false,"createdAt":"2026-07-19T00:29:07.843Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist (AI, Big Data, SQL, Python)| REMOTE","description":"Centralized Data Leader100% TelecommuteOur audit and governance functions require a centralized data leader who can:Architect scalable, secure, compliant data pipelinesTranslate complex datasets into actionable insights for regulatory and operational decisionsBuild intuitive, low-maintenance tools that empower non-technical users across the PA experienceResponsibilities:Data Collection & Cleaning - They gather data from various sources and clean it to ensure it's usable—removing errors, filling in missing values, and standardizing formats.Exploratory Data Analysis (EDA) - They explore the data to understand patterns, trends, and relationships using statistical techniques and visualizations.Model Building - They build predictive models using machine learning algorithms to forecast outcomes or classify data.Interpretation & Communication - They translate complex results into actionable insights and communicate them to stakeholders through reports, dashboards, or presentations.Deployment & Monitoring - In some cases, they help deploy models into production systems and monitor their performance over time.Ideal Background:Healthcare specific background would be helpful.But candidate must be experienced in elements of statistics, computer science, and domain expertise to help organizations make data-driven decisions.As well as, build and maintain artificial intelligence (AI) driven platforms/solutions.Required:Programming: Python, R, SQLStatistics & MathematicsMachine Learning & AIData Visualization: Tools like Tableau, Power BI, or libraries like Matplotlib and SeabornBig Data Tools: Spark, Hadoop (for large-scale data)Preferred:Advanced SQL and Python for analytics, ETL, and automationData modeling, warehousing, and pipeline orchestration (cloud-native stack)Dashboarding (Power BI; Streamlit or similar) and reproducible analytics (versioning, CI/CD preferred)Healthcare data familiarity (claims, PA & appeals, pharmacy) and regulatory contexts (CMS, NCQA, URAC, ERISA, state rules)Data security, privacy, and compliance best practices.Required Skills: PowerBIBasic Qualification:Additional Skills:This is a high PRIORITY requisition.","datePosted":"2026-07-19T00:29:07.843Z","dateModified":"2026-07-19T00:29:07.843Z","hiringOrganization":{"@type":"Organization","name":"Samprasoft","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ea20c0716c9a07f2138da137"},"url":"https://jobsearcher.com/jobs/ea20c0716c9a07f2138da137"}}